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» Randomized Algorithms for Motif Detection
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GECCO
2006
Springer
141views Optimization» more  GECCO 2006»
14 years 8 days ago
Towards effective adaptive random testing for higher-dimensional input domains
Adaptive Random Testing subsumes a class of algorithms that detect the first failure with less test cases than Random Testing. The present paper shows that a "reference metho...
Johannes Mayer
BMCBI
2005
125views more  BMCBI 2005»
13 years 8 months ago
DIALIGN-T: An improved algorithm for segment-based multiple sequence alignment
Background: We present a complete re-implementation of the segment-based approach to multiple protein alignment that contains a number of improvements compared to the previous ver...
Amarendran R. Subramanian, Jan Weyer-Menkhoff, Mic...
INCDM
2007
Springer
97views Data Mining» more  INCDM 2007»
14 years 2 months ago
Clustering by Random Projections
Abstract. Clustering algorithms for multidimensional numerical data must overcome special difficulties due to the irregularities of data distribution. We present a clustering algo...
Thierry Urruty, Chabane Djeraba, Dan A. Simovici
GPEM
2007
119views more  GPEM 2007»
13 years 8 months ago
Genomic mining for complex disease traits with "random chemistry"
Our rapidly growing knowledge regarding genetic variation in the human genome offers great potential for understanding the genetic etiology of disease. This, in turn, could revolut...
Margaret J. Eppstein, Joshua L. Payne, Bill C. Whi...
CEAS
2007
Springer
14 years 2 months ago
Filtering Image Spam with Near-Duplicate Detection
A new trend in email spam is the emergence of image spam. Although current anti-spam technologies are quite successful in filtering text-based spam emails, the new image spams ar...
Zhe Wang, William K. Josephson, Qin Lv, Moses Char...